Abstract：
The present review focuses on REM sleep without atonia (RSWA) scoring methods. In consideration of the numerous papers published in the last decade, that used different methods for the quantification of RSWA, their systematic revision is an emerging need. We made a search using the PubMed, Embase, Scopus and Web of Science Databases, from 2010 until December 2021, combining the search term \"RSWA\" with \"scoring methods\", \"IRBD\", \"alfasyn disease\", and \"neurodegenerative disease\", and with each of the specific sleep disorders, diagnosed according to current criteria, with the identification of the references of interest for the topic. Furthermore, a Meta-analysis of the diagnostic performance of RSWA scoring methods, in terms of sensitivity and specificity, was carried out. The comparison of the hierarchical summary receiver-operating characteristic curves obtained for visual methods and that obtained for the automated REM sleep atonia index (RAI), shows substantially similar prediction areas indicating a comparable performance. This systematic review and meta-analysis support the validity of a series of visual methods and of the automated RAI in the quantification of RSWA with the purpose to guide clinicians in the interpretation of their results and their correct and efficient use within the diagnostic work-up for REM sleep behavior disorder.
摘要：
本综述集中于无失能的REM睡眠（RSWA）评分方法。考虑到过去十年发表的大量论文，使用不同的方法定量RSWA，他们的系统修订是一种新兴的需要。我们用PubMed做了一个搜索,Embase,Scopus和WebofScience数据库,从2010年到2021年12月，将搜索词“RSWA”与“评分方法”相结合，\"IRBD\",“阿法辛病”，和“神经退行性疾病”，每种特定的睡眠障碍，根据当前标准诊断，识别该主题感兴趣的参考文献。此外，RSWA评分方法诊断性能的Meta分析，在敏感性和特异性方面，进行了。通过视觉方法获得的分层汇总接受者工作特征曲线与自动REM睡眠失能指数（RAI）获得的分层汇总接受者工作特征曲线的比较，显示了基本相似的预测区域，表明可比较的性能。此系统评价和荟萃分析支持一系列视觉方法和自动RAI在RSWA定量中的有效性，目的是指导临床医生解释其结果，并在诊断工作中正确有效地使用快速眼动睡眠行为障碍。
